11 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS" "DIFFER" Undergraduate positions in Portugal
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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and multicultural teams; - good interpersonal relations and teamwork skills. 3. Work plan: The selected candidate will participate in different tasks of the project “Dropin@ IPB2.0 - Pathways
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of divergence between the information contained in the declaration and the documentation submitted for contracting the grant, only the information contained in the latter will be consider. If the documents
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: Simulation of internal combustion engines (particularly the Nissan PSA DV5 engine) using ANSYS Forte software, fueled with 100% B7 diesel and mixtures of B7 diesel with different percentages of methanol
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be involved in several different activities in project EquiVet.AI, including: - Development of a comprehensive AI-based diagnostic system for allergic diseases in horses (with respiratory and/or dermal
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to adapt the bending operation to different materials or to adjust the process parameters over time (e.g. depending on tool wear), enabling real-time control and optimization of the bending process. V
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the mineral processing processes to valorise waste materials (mining wastes). Under this task, different mineral processing techniques will be tested with the previously selected mining waste. The main
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differences in the development of brain-barrier interfaces, which are crucial for brain immune surveillance, in order to better understand the etiology of neonatal sepsis and the higher susceptibility to brain